Price: $1,999.00

Length: 2 Days
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Modeling and Simulation (M&S) Training Workshop

Modeling and simulation constitute a powerful method for designing and evaluating complex systems and processes, and knowledge of modeling and simulation.

In the computer application of modeling and simulation a computer is used to build a mathematical model which contains key parameters of the physical model.

Modeling and simulation approaches are important for organizations because simulation modeling solves real-world problems safely and efficiently.

Additionally, modeling and simulation provides an important method of analysis which is easily verified, communicated, and understood. Across industries and disciplines, simulation modeling provides valuable solutions by giving leaders and managers of organizations clear insights into complex systems.

Other significant benefits of modeling and simulation include:

  • The ability to explore “what if” questions
  • The ability to find unexpected problems
  • Speeding things up (or slowing them down) to see changes over long or short periods
  • Providing valuable solutions by giving clear insights into complex systems

Additionally, unlike spreadsheet- or solver-based analytics, simulation modeling allows the observation of system behavior over time, at any level of detail. For example, checking warehouse storage space utilization on any given date.

A simulation model can capture many more details than an analytical model, providing increased accuracy and more precise forecasting. For instance, mining companies can significantly cut costs by optimizing asset usage and knowing their future equipment needs.

Unlike physical modeling, such as making a scale copy of a building, simulation modeling is computer based and uses algorithms and equations.

Sector analysts steadfastly believe simulation software provides a dynamic environment for the analysis of computer models while they are running, including the possibility to view them in 2D or 3D.

The uses of simulation in business are varied and it is often utilized when conducting experiments on a real system is impossible or impractical, often because of cost or time.

Experts in this realm believe a structured approach to modeling and simulation is best, and that there are certain steps that need to be taken in order to have effective simulation modeling.

The first step is to identify the problem. The precise goals of the simulation efforts will depend on the state of the enterprise’s system. For example, if the current system’s appetite for resources is unacceptable, one goal could be to reduce costs. Or, if you want to scale operations up, the goal could include efficiently increasing system capacity.

The next two steps should be to formulate a model then outline a model.

Other steps to consider, include:

  • Translate the model into code or software
  • Verify and validate the model
  • Experiment with alternative models
  • Document and report the simulation’s performance
  • Implement and update the model

Modeling and Simulation (M&S) Training Workshop by Tonex

Modeling and Simulation Training Workshop is a 2-day training course introducing the key Modeling & Simulation (M&S) concepts, terminology of modern modeling and simulation technology, use cases and applications in operations research and systems engineering, verification and validation of critical functions, failure analysis, modeling and simulating crucial requirements such as performance, reliability, safety, security ,threats. Participants will  gain a broad knowledge of M&S concepts, use cases, applications, methods, procedures, schemes, natural languages, numerical data, and important mathematical topics.

Modeling and Simulation is a discipline for developing a level of understanding of the interaction of the parts of a system, and of the system as a whole. The level of understanding which may be developed via this discipline is seldom achievable via any other discipline.

A system is understood to be an entity which maintains its existence through the interaction of its parts and subsystems. A model is a simplified representation of the actual system, a system of system (SoS), or a capability intended to promote understanding.
A simulation generally refers to a computerized version of the model which is run over time to study the implications of the defined interactions. Simulations are generally iterative in there development.

Participants will learn how Modeling and simulation (M&S) can be used in  physical or logical representation of a given system, system of systems (SoS) and capabilities to generate data to predict risks and performance and make decisions.

TONEX 2-day course in modeling and simulation will provide the participants  the complete set of skills and knowledge  needed for modeling and simulation-project success. Participants will learn the latest and most-important modeling and simulation concepts and techniques in a short time. Topics are presented in an intuitive and understandable manner, making use of numerous examples, case studies, in-class exercises, and live demonstrations.

TONEX offers multiple modeling and simulation training offerings, tailoring to the need for mission-critical applications and systems engineering and preparing the participants for the critical modeling and simulation of components, subsytems, systems, system of systems (SoS), and capabilities, Modeling and simulation is a critical skill and TONEX offers an array of technical courses for engineers and managers focusing on real world scenarios used in all areas of engineering and other domains needing modeling and simulation.


Who Should Attend

Analysts, engineers, technicians, developers, managers, users/customers  and scientists with a range of exposure to and experience with M&S:

  • Systems engineers
  • Operations research/systems engineering
  • Physical scientists
  • Product development professionals
  • Verification and Validation (V&V)
  • Professionals in military, government sectors, aerospace, space, and other fields

Learning Objectives

After completing this course, the participants will be able to:

  • Learn the fundamentals of modeling and simulation (M&S)
  • Describe the key concepts and terminology of modeling and simulation
  • List the domains of use of M&S
  • Describe key real world application of modeling and simulation
  • Describe principles and theory of modeling and simulation for systems, systems of systems (SoS), capabilities and systems engineering
  • Gain insight into complex systems, capabilities and difficult problems through use of modeling and simulation
  • Discuss modeling and simulations methods and techniques for combat, Electronic Warfare, Radar Systems, RF Electronic Warfare, Electro-Optical, Infrared EO/IR, Systems, Radars, antennas, Phased-Array Antennas, threats and combat
  • Discuss modeling and simulations methods and techniques for other domains such as aerospace, deep space, transportation, functional safety, manufacturing, power and energy, cyber security, health care, training/education, weather forecasting, infrastructure, and testing

Course Agenda/Content

Introduction to Modeling and Simulation (M&S)

  • What is M&S?
  • Value of M&S
  • Concepts and context
  • Fundamental terms and concepts
  • Distributed simulation
  • Interoperability
  • M&S technology and processes
  • Applications of M&S
  • Acquisition, analysis, experimentation, planning, testing and training
  • Verification and validation
  • Analysis
  • Acquisition
  • Engineering
  • Mission Planning
  • Combat Engineering
  • Threat and Defense
  • Cybersecurity
  • Test and Evaluation
  • Verification and Validation
  • Operation Research
  • Experimentation
  • Aerospace Training
  • Medicine and Health Care
  • Manufacturing
  • Logistics and Supply Chain
  • Modern Transportation
  • Environment
  • Business
  • Social science
  • Power and Energy
  • Other Domains

Modeling and Simulation Implementation Methods

  • An attempt to represent real world
  • People
  • Processes
  • Capabilities
  • Equipment
  • Activities
  • Locations
  • Organization and Policies
  • Environments
  • Events
  • States
  • Stochastic Modeling
  • Physics-based Modeling
  • Structural Modeling
  • Finite Element
  • Computational fluid dynamics
  • Forecasting
  • Monte Carlo Simulation
  • Discrete Event Simulation
  • Continuous Simulation
  • Human behavior modeling
  • Multi-resolution Simulation
  • Other modeling methods
  • Simulation implementation
  • Modeling and simulation life-cycle
  • Modeling and simulation standards
  • Development processes
  • Conceptual modeling
  • Specialized modeling and simulation languages
  • Verification, validation, certification and accreditation
  • Distributed simulation and interoperability
  • Human-computer interaction and virtual environments
  • Semi-automated forces/computer generated forces
  • Stimulation

Modeling and Simulation Supporting Tools, Techniques, and Resources

  • Major simulation infrastructures
  • M&S resource repositories
  • Business and management of M&S
  • Management of M&S projects and processes
  • Statistics and probability
  • Mathematics
  • Model-Based Engineering using SysML Models
  • Design of Experiments (DOE)

Modeling and Simulation for Systems, System of Systems (SoS), Capabilities and Systems Engineering

  • Modeling Goals, Objectives, and Needs
  • Scope Modeling based on NASA’s process
  • Types of Models
  • Process Models
  • Physical Models
  • Mathematical Models
  • Simulation Models
  • Combination Models
  • Test and Evaluation
  • Verification and Validation (V&V)
  • C4ISR ( Command, Control, Communications, Computers, Intelligence, Surveillance and Reconnaissance)
  • Threat Simulation and Modeling
  • Electronic Warfare Modeling and Simulation
  • Electronic Warfare Threat Modeling and Simulation
  • Modeling and Simulation of Radar Systems
  • Modeling and Simulation in Electro-Optical and Infrared EO/IR Systems
  • Combat Engineering, Modeling and Simulation
  • Modeling and Simulation of RF Circuits
  • Simulations for RF Electronic Warfare
  • Modeling and Simulation of Antennas
  • Modeling and Simulation of Phased-Array Antennas
  • Using DoDAF to model operations, Systems, Capability, Services and Projects
  • Simulation of DoDAF artifacts and viewpoints
  • Integrated Performance Modeling and Simulation

Modeling and Simulation (M&S) Representation

  • Systems
  • System of Systems (SoS)
  • Human Behavior
  • Natural Environment
  • Modeling Process
  • Abstractions
  • Formalism
  • Design and Build Models
  • Conduct Feasibility Assessments
  • Knowledge Engineering
  • Simulation Concepts
  • Simulation Definition
  • Simulation Concept
  • Live Simulation
  • Virtual Simulation
  • Constructive Simulation
  • Simulation Methods
  • Mechanisms
  • Simulation Ethics
  • Discrete Event
  • Continuous

Workshop, Group Discussions and Case Studies

  • Discussing Tools: Matlab , Simulink, Scilab, Scicos, Arena, Simprocess
  • Tools, data, and information across the Enterprise
  • Strategic Vision and goals for DoD Modeling and Simulation (M&S)
  • Modeling and simulation (M&S) is an enabler of warfighting capabilities
  • Reuse and interoperability of models, simulations, and associated data
  • Visibility into the Modeling & Simulation (M&S) resources
  • Defense Enterprise Metacard Builder Resource (EMBR) tool; EMBR 2.0
  • Modeling & Simulation Guidance for the Acquisition
  • M&S Verification, Validation, and Accreditation (VV&A)
  • Modeling and Simulation (M&S) Management
  • Test and Evaluation Management
  • Acquisition Modeling and Simulation Master Plan
  • Best Practices for the Development of M&A
  • Manager’s Guide to the High Level Architecture (HLA) for M&S
  • Simulate Interoperability Standards Organization (SISO) Link 16 Simulation Case Study

Modern Transportation Modelling and Simulation Case Study

  • Stress analysis
  • Functional safety
  • Crash simulation
  • Air resistance
  • Manufacturing processes
  • Customer comfort
  • Economic problems

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